Oleg Arenz

5 papers · 2018–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11)

Venues

ICLR (2) ICML (2) JMLR (1)

Top co-authors

Gerhard Neumann (3) Jan Peters (2) Mingjun Zhong (2) Guoping Zhao (1) Firas Al-Hafez (1) Puze Liu (1) Huaping Liu (1) Bang You (1) Davide Tateo (1) Philipp Becker (1)

Research topics

Machine Learning (5) Optimization & Theory (4) Deep Learning (3) Models (3) Reinforcement Learning (2) Methods (2) Artificial Intelligence (1) Robotics (1) Applications (1) Core AI (1) Core Methods (1) Learning Types (1)

Keywords

variational inference (3) gaussian mixture model (3) multimodal distribution (2) policy search (1) state representation (1) bellman error (1) information geometry (1) latent variable model (1) inverse dynamics model (1) trust region (1) total correlation (1) multimodal data (1) gradient-free optimization (1) information projection (1) implicit reward (1) mixture density estimation (1) policy (1) compressible trajectories (1) lower-bound approximation (1) approximate inference (1)

Papers

Maximum Total Correlation Reinforcement Learning ICML 2025 LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning ICLR 2023 Expected Information Maximization: Using the I-Projection for Mixture Density Estimation ICLR 2020 Trust-Region Variational Inference with Gaussian Mixture Models JMLR 2020 Efficient Gradient-Free Variational Inference using Policy Search ICML 2018